Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep learning models. #AdamW #DeepLearning #PythonTutorial ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

The course material is organised into two interactive Notebooks, where the participants can actively follow the instructors' examples, as well as explore the provided source code. In this repository, ...

Released in April 2025, the book has sold over 2,000 copies and seeks to make coding approachable for children, especially as ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...